Total Variation Regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background

Abstract

Moving object detection is one of the most fundamental tasks in computer vision. Many classic and contemporary algorithms work well under the assumption that backgrounds are stationary and movements are continuous, but degrade sharply when they are used in a real detection sreal detection systemystem, mainly due to: 1) the dynamic background (e.g., swaying… (More)
DOI: 10.1109/TCYB.2015.2419737

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@article{Cao2016TotalVR, title={Total Variation Regularized RPCA for Irregularly Moving Object Detection Under Dynamic Background}, author={Xiaochun Cao and Liang Yang and Xiaojie Guo}, journal={IEEE Transactions on Cybernetics}, year={2016}, volume={46}, pages={1014-1027} }